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DataAnnotation is seeking a skilled contributor to run agentic coding sessions on real engineering tasks, analyze model outputs, and document failures to improve future models.
You will vibe-code with frontier models on real tasks such as bug fixes, API extensions, and feature work, while evaluating the AI's reasoning against production standards and identifying unsafe or confidently wrong solutions before real users see them.
The newest models can vibe-code a whole feature in minutes. Someone has to check whether that code actually works, and that someone is you.
You'll run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Every failure you document teaches the next generation of coding agents.
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.